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The prompt defines the logic and behavior of your chart retrieval agent. It outlines what the agent is responsible for, how it should conduct the conversation, and what actions to take in different scenarios such as no answer, voicemail, or patient not found.
  • Prompt name: The name of the prompt is used to reference it elsewhere in Console, so you should pick something that’s easily identifiable. Name the prompt something like medical-records-agent-prompt
  • Prompt description (optional): This description is displayed for extra context on the prompt list screen. For this prompt you can enter “Prompt for medical records agent” here.
  • Model provider: This is the provider for the LLM that the prompt, and therefore any agents using it, will converse with. Select “OpenAI” here.
  • Model and Version: This is the specific LLM model that the prompt will use. Select “GPT-4.1” and April version (or the latest model and version) here.
  • Seed (optional): This is an integer value that controls the reproducibility of the job. You can skip this step.
  • Temperature (optional): This is a decimal value between 0 and 2 that controls randomness, higher is more varied, lower is more focused. You can skip this step.
  • Tools: Here we can provide the prompt access to tools. Selecthangup, append_google_sheet_row and get_current_datetime
  • Content: This is the actual text of the prompt that will be sent to the LLM at the beginning of the conversation.
    • Vars: Notice that there are variables such as vars.provider-namethat will be communicated to the agent from tools.

Paste in this prompt